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Type II Error
The term Type II error describes a particular kind of inferential mistake one can make when using data to draw a conclusion about a null hypothesis within the strategy called hypothesis testing. Simply stated, a Type II ...
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- Babbage, Charles
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- Ethical Principles in the Conduct of Research With Human Participants
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- Hypothesis and Hypothesis Testing
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- Sample Size
- Section 504 of the Rehabilitation Act of 1973
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- Inferential Statistics
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- Excel Spreadsheet Functions
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- Goodness-of-Fit Tests
- Kolmogorov-Smirnov Test for One Sample
- Kolmogorov-Smirnov Test for Two Samples
- Kruskal-Wallis One-Way Analysis of Variance
- Latent Class Analysis
- Likelihood Ratio Test
- Lilliefors Test for Normality
- Mann-Whitney U Test (Wilcoxon Rank-Sum Test)
- McNemar Test for Significance of Changes
- Median Test
- Multiple Comparisons
- Multivariate Analysis of Variance (MANOVA)
- Newman-Keuls Test
- O'Brien Test for Homogeneity of Variance
- One- and Two-Tailed Tests
- One-Way Analysis of Variance
- Page's L Test
- Paired Samples t Test (Dependent Samples t Test)
- Peritz Procedure
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- Wechsler Adult Intelligence Scale
- Wechsler Individual Achievement Test
- Wechsler Preschool and Primary Scale of Intelligence
- West Haven-Yale Multidimensional Pain Inventory
- Woodcock Johnson Psychoeducational Battery
- Woodcock Reading Mastery Tests Revised
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